
Silicon Physical Design Engineer V
Posted 3 days ago

Posted 3 days ago
This is a fully remote position, open to applicants in United States.
• Establish and sustain PPRTL and PTPX power analysis workflows for average and time-based/peak power assessments.
• Create and oversee activity inputs (FSDB/VCD/SAIF) derived from RTL and gate-level simulations.
• Manage long-waveform and windowed analyses.
• Compare RTL-level power estimates against gate-level signoff power and elucidate discrepancies.
• Generate power breakdowns on a per-block, per-hierarchy, and per-workload basis.
• Identify primary power contributors and areas of clock/datapath inefficiency.
• Suggest and assess power reduction strategies, encompassing clock gating efficiency, datapath gating, memory power, and idle leakage.
• Automate workflows and reporting utilizing TCL, Python, and Make-based build systems.
• Incorporate automation into regression and continuous integration processes.
• Document methodologies and assist design teams in interpreting outcomes.
• Conduct PPA optimization using Fusion Compiler.
• Execute RTL and netlist-level power analyses.
• Post-process and script report log files for format conversion, data analysis, and information extraction.
• Configure, execute, troubleshoot, and analyze ASIC workflows including synthesis, physical design, power, and timing.
• Implement selected blocks at RTL and UPF levels.
• Clearly document and communicate findings.
• Over 10 years of experience as an ASIC Power Engineer, CAD Engineer, or Physical Design Engineer.
• Proficiency with power estimation tools and synthesis, along with some background in physical design.
• Understanding of power trade-offs in design and back-end implementations.
• Practical experience in scripting and data analysis.
• Hands-on production experience with Synopsys tools (PPRTL, PTPX/PrimePower, VCS, Verdi, DC, ICC, FC) and/or Cadence tools (Joules), PowerArtist.
• Ability to troubleshoot simulation-to-power flow issues comprehensively.
• Strong scripting capabilities in TCL, Python, and Excel-based scripting and data post-processing tools, including model fitting, data visualization, and analysis.
• Proficient working with Linux and large compute/job-scheduling environments.
• Experience in low power design, tools, and methodologies, including UPF power intent specifications.
• Knowledge of silicon power characterization, including some experience in power modeling and profiling at the IP/SoC level.
• Interest or experience in machine learning hardware tailored for AR/VR products.
• Bachelor’s degree in Electrical Engineering, Computer Science, or equivalent experience.
• Must be able to work during Pacific Time (PST) hours.
• Comprehensive employee benefits coverage at 100%, including Medical.
• Paid Time Off (PTO).
• Holiday Pay.
• 401K Plan.
Sargent & Lundy
University of Washington, Department of Electrical & Computer Engineering
AtkinsRéalis
.efficiently
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